Jensen Huang says safety-testing data centers will become AI's third compute demand pillar
rohanpaul_ai · x · 2026-09-17
On CNBC, Jensen Huang identified what he sees as a third major pillar of AI compute demand, on top of training and inference: giant data centers built specifically to evaluate and safety-test frontier models. As capabilities and safety requirements grow, evaluation becomes its own compute segment rather than a marginal cost.
Related event: Jensen Huang: Safety Testing Emerges as Third Pillar of AI Compute(2 posts)→
More from Infra
- OpenRouter hits 10 quadrillion annual token run rate, Opus drives $5B+ GMV — deedydas · 2026-11-02
- To dethrone Postgres, new databases must prioritize ecosystem integrations from day one — mgill25 · 2026-11-02
- ESP32-powered 4-inch touchscreen builds a TUI dashboard for monitoring a DGX inference cluster — CATLLM · 2026-11-02
- OpenRouter crosses 10 quadrillion annualized token run rate, doubling every 10.5 weeks — deedydas · 2026-11-02
- Palmer Luckey asks: can you use datacenter RAM for things prohibited by the operator's terms of service? — avaitopiper · 2026-11-02
- Disable MTP for 20-30% faster local LLM inference on limited RAM — InternalMode8159 · 2026-11-02